Chebysev-中心和不动点定理

本文利用Chebysev—中心讨论了Banach空间Z中广义非扩张映象的不动点定理以及广义压缩映象不动点的迭代逼近。     

渐近非扩张的非自映象不动点的迭代逼近问题

本文研究了渐近非扩张的非自映象不动点的迭代逼近问题,利用一致凸Banach空间中凸性模的有关不等式及新的分析方法,通过引入一新的修正的Ishikawa型迭代程序,在一致凸实Banach空间中,获得了此迭代序列强收敛于渐近非扩张的非自映象的不动点的逼近.改进和扩展了文献[2-5,9,10]的相关结果.     

Banach空间中几乎渐近非扩张型映象的不动点的迭代逼近

在Banach空间中引入了一类新的几乎渐近非扩张型映象,概括了Banach空间中若干熟知的非线性的Lipschitz映象类与非Lipschitz映象类成特例;例如,熟知的非扩张映象类,渐近非扩张映象类与渐近非扩张型映象类.考虑了用于逼近几乎渐近非扩张型映象不动点的带误差的修改了的Ishikawa迭代序列的收敛性问题.关于Banach空间范数的S.S.Chang的不等式与H.K.Xu的不等式皆被用于做精确不动点与近似不动点间的误差估计.而且,张石生教授用于做带误差的修改了的Ishikawa迭代序列收敛性分析的方法(应用数学和力学,2001,22(1):23-31)被推广到几乎渐近非扩张型映象的情况.给出了用于求一致凸Banach空间中几乎渐近非扩张型映象不动点的带误差的修改了的Ishikawa迭代序列的新的收敛判据.并且,由该判据,立即得到了此类映象的带误差的修改了的Mann迭代序列的新的收敛判据.上述结果统一、改进与推广了张石生教授关于用带误差的修改了的Ishikawa与Mann迭代序列来逼近渐近非扩张型映象不动点方面的结果.     

Banach空间中非扩张映象的黏性逼近方法

借助Banach空间中非扩张映象的黏性逼近方法,得出了非扩张映象迭代序列收敛于其不动点的充分必要条件．本文结果推广和改进了一些人的最新结果．     

关于一类映象的Ishikawa迭代程序的收敛性

一、引言 自1970年Dotson在[10]中引入拟非扩张映象的概念后,近几年不少人分别在引文[1—10]中讨论过某些特殊类型的拟非扩张映象的不动点的存在性及其Mann-Ishikawa迭代程序的收敛问题。 本文的目的是讨论更广泛的一类拟非扩张映射族的公共不动点的存在性,以及其Ishikawa迭代程序向该类映象象族的公共不动点的强、弱收敛性。本文的结果改进和推广了最近不少人的重要结果。     

赋范线性空间中渐近伪压缩映象的不动点迭代逼近

研究了赋范线性空间中渐近非扩张映象和渐近伪压缩映象不动点的迭代逼近问题,所得结果改进和推广了已有的一些结果.     

Banach空间中具有数列的渐近拟非扩张型映象的不动点及其具有误差的Ishikawa迭代逼近

1引言及相关定义 引文[1～5]讨论了渐近非扩张映象和渐近非扩张型映象不动点的迭代逼近问题.文[6]改进了文[1]中条件,将T由渐近非扩张型映象推广到T是渐近拟非扩张型映象.     

Banach空间中渐近非扩张映象不动点的迭代逼近问题

本文研究Banach空间中渐近非扩张映象和渐近伪压缩映象不动点的迭代逼近问题,本文结果是[4,5,7]中相应结果的发展和改进。     

无限族非扩张非自射映象公共不动点的迭代逼近与Cesàro均值迭代收敛性

该文在严格凸的自反Banach空间引进并研究了关于无限族非扩张非自射映象的迭代算法,获一强收敛结果.应用这个结果又获得了Cesàro型均值迭代算法的强收敛性结果.所获主要结果将2007年Zhang-Lee-Chan获得的主要结果从Hilbert空间推广到Banach空间,将自射映象推广到非自射.也将2007年R.Wangkeeree获得的主要结果从一个非扩张映象Cesàro均值迭代算法推广到两个.该文还得到关于非扩张映象不动点集的一全新结果.     

集值非扩张映象列迭代过程的收敛性及不动点

本文讨论了集值非扩张映象列的Ishikawa迭代过程的收敛性及确保迭代过程收敛到公共不动点的条件．所得结果是单值非扩张映射情形的推广和发展．     

Weak and Strong Convergence Theorems of G-Monotone Nonexpansive Mapping in Banach Spaces with a Graph

In this article, we introduce a faster iteration for finding a fixed point of G-monotone nonexpansive mapping in a uniformly convex Banach space with a directed graph. We establish weak and strong convergence theorems of fixed point for G-monotone nonexpansive mapping with a more convenient G-convex interval instead of the previous fixed point dominated conditions in convergence analysis. Moreover, we provide two numerical examples to illustrate the convergence behavior and advantages of the proposed method.     

Implicit iteration scheme with perturbed mapping for common fixed points of a finite family of nonexpansive mappings

In this paper we propose a new implicit iteration scheme with perturbed mapping for approximation of common fixed points of a finite family of nonexpansive mappings. We establish some convergence theorems for this implicit iteration scheme. In particular, necessary and sufficient conditions for strong convergence of this implicit iteration scheme were obtained.     

Weak Convergence Theorems for Nonexpansive Mappings and Monotone Mappings

In this paper, we introduce an iteration process of finding a common element of the set of fixed points of a nonexpansive mapping and the set of solutions of a variational inequality problem for an inverse strongly-monotone mapping, and then obtain a weak convergence theorem. Using this result, we obtain a weak convergence theorem for a pair of a nonexpansive mapping and a strictly pseudocontractive mapping. Further, we consider the problem of finding a common element of the set of fixed points of a nonexpansive mapping and the set of zeros of an inverse strongly-monotone mapping.     

Convergence and certain control conditions for hybrid viscosity approximation methods

Very recently, Yao, Chen and Yao [20] proposed a hybrid viscosity approximation method, which combines the viscosity approximation method and the Mann iteration method. Under the convergence of one parameter sequence to zero, they derived a strong convergence theorem in a uniformly smooth Banach space. In this paper, under the convergence of no parameter sequence to zero, we prove the strong convergence of the sequence generated by their method to a fixed point of a nonexpansive mapping, which solves a variational inequality. An appropriate example such that all conditions of this result are satisfied and their condition β_n→0 is not satisfied is provided. Furthermore, we also give a weak convergence theorem for their method involving a nonexpansive mapping in a Hilbert space.     

Banach空间中φ-渐进非扩展映像不动点的迭代构造

在Mann的迭代算法基础上，运用Banach空间中的广义投影，使渐进非扩展映像每次迭代生成的序列都投影到一个闭凸的集合中．并证明了该算法的强收敛性．     

有限族非扩张映象的公共不动点的具误差和具扰动映射的迭代程序

本文在实一致凸和q-一致光滑Banach空间中研究了一类新的有限族非扩张映象的公共不动点的具误差和具扰动映射的显式迭代程序并且得到了一些收敛性定理.特别地,获得了该显式迭代程序强收敛性的充要条件.本文所得到结果推广了文[1]中的相应结果.     

构造非线性映射不动点的迭代法

为了构造非线性映射的不动点,许多作者对Mann迭代法进行了研究.后来Ishikawa推广了Mann迭代法,对Hilbert空间H的紧凸子集D的李卜西兹拟压缩映射T,证明了新的迭代法{x_n}强收敛于T的一不动点,{x_n}被定义为     

New monotone hybrid algorithm for hemi-relatively nonexpansive mappings and maximal monotone operators

The purpose of this article is to prove the strong convergence theorems for hemi-relatively nonexpansive mappings in Banach spaces. In order to get the strong convergence theorems for hemi-relatively nonexpansive mappings, a new monotone hybrid iteration algorithm is presented and is used to approximate the fixed point of hemi-relatively nonexpansive mappings. Noting that, the general hybrid iteration algorithm can be used for relatively nonexpansive mappings but it can not be used for hemi-relatively nonexpansive mappings. However, this new monotone hybrid algorithm can be used for hemi-relatively nonexpansive mappings. In addition, a new method of proof has been used in this article. That is, by using this new monotone hybrid algorithm, we firstly claim that, the iterative sequence is a Cauchy sequence. The results of this paper modify and improve the results of Matsushita and Takahashi, and some others.     

一致凸Banach空间非扩张映像具误差的Ishikawa迭代

研究一致凸 Banach空间中非扩张映像迭代序列的收敛问题 ,使用了基于 Ishikawa迭代的一种具误差的 Ishikawa迭代 ,证明了非扩张映像的具误差的 Ishikawa迭代收敛定理 .